Specialist, Scoring and Modeling

Job Description

Specialist, Scoring & Modeling

We are looking for a Specialist, Scoring & Modeling to join our team reporting to the Director, Scoring, Modeling and Originations. This role is vacant.

What will you work on?

• Lead model development projects, with focus on credit risk scorecards, using various modeling techniques including Decision Trees, Logistic Regression and Machine Learning algorithms.


• Extract, manipulate, and analyze raw data using mainly SAS to deliver timely, value‑added insights for scoring initiatives.


• Develop and maintain comprehensive model documentation that adheres to regulatory standards.


• Support operational model implementation by liaising with related parties to ensure the models are deployed accurately and promptly.


• Develop, maintain, and review model monitoring and validation reports and provide insight into model performance with respect to a given business use case.


• Take lead in liaising with external partners such as credit bureaus and modeling consultants to ensure credit bureau data needs and analytic requirements are met.


• Keep abreast of new statistical and machine learning techniques and tools, and industry best practices for predictive modeling.


• Provide technical guidance, proactive support, and data‑driven recommendations to management from a predictive modeling perspective.


• Effectively communicate and present key findings to both technical and non‑technical internal business stakeholders leveraging visualization tools and techniques.

Who are we looking for?

• Minimum 4 years of hands‑on experience in analytics and predictive modeling within the financial services industry, ideally in a Credit Risk Analytics environment.


• Bachelor’s or Master’s degree in a quantitative discipline such as Statistics, Economics, Actuarial Science, Engineering, or Mathematics.


• Demonstrated understanding of credit risk model development, validation, and monitoring techniques.


• Strong knowledge of statistical techniques and concepts (regression, gradient boosting, neural networks, clustering, etc.) with the skill to determine the appropriateness of a technique for a given business problem.


• Strong data science capabilities, with proven experience in manipulating data using SAS, SQL, or Python.


• Experience working with large‑scale databases, data mining, and data warehousing.


• Familiarity with Canadian raw credit bureau data is considered a strong asset.


• Advanced skills in Microsoft Excel (e.g., pivot tables, index‑match functions) and familiarity with Microsoft Access or other database tools.


• Exceptional written and verbal communication skills, with the ability to engage stakeholders across all levels of the organization.

Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.

Time Type: Full time

Job Type: Permanent

Learn more: https://www.fairstone.ca/en/about/canadian-lender

Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/